English
Related papers

Related papers: Next-Day Bitcoin Price Forecast Based on Artificia…

200 papers

This paper introduces CryptoAnalytics, a software toolkit for cryptocoins price forecasting with machine learning (ML) techniques. Cryptocoins are tradable digital assets exchanged for specific trading prices. While history has shown the…

Computational Engineering, Finance, and Science · Computer Science 2024-09-09 Pasquale De Rosa , Pascal Felber , Valerio Schiavoni

The emerging cryptocurrency market has lately received great attention for asset allocation due to its decentralization uniqueness. However, its volatility and brand new trading mode have made it challenging to devising an acceptable…

Machine Learning · Computer Science 2021-10-19 Fengrui Liu , Yang Li , Baitong Li , Jiaxin Li , Huiyang Xie

Financial markets have a vital role in the development of modern society. They allow the deployment of economic resources. Changes in stock prices reflect changes in the market. In this study, we focus on predicting stock prices by deep…

Machine Learning · Computer Science 2019-09-27 Jialin Liu , Fei Chao , Yu-Chen Lin , Chih-Min Lin

Predicting a fast and accurate model for stock price forecasting is been a challenging task and this is an active area of research where it is yet to be found which is the best way to forecast the stock price. Machine learning, deep…

Statistical Finance · Quantitative Finance 2024-02-13 Himanshu Gupta , Aditya Jaiswal

Bitcoin is considered the most valuable currency in the world. Besides being highly valuable, its value has also experienced a steep increase, from around 1 dollar in 2010 to around 18000 in 2017. Then, in recent years, it has attracted…

Social and Information Networks · Computer Science 2019-04-11 Amin Azari

Aspiring to achieve an accurate Bitcoin price prediction based on people's opinions on Twitter usually requires millions of tweets, using different text mining techniques (preprocessing, tokenization, stemming, stop word removal), and…

Social and Information Networks · Computer Science 2023-06-12 Sattarov Otabek , Jaeyoung Choi

The cryptocurrency ecosystem has been the centre of discussion on many social media platforms, following its noted volatility and varied opinions. Twitter is rapidly being utilised as a news source and a medium for bitcoin discussion. Our…

Statistical Finance · Quantitative Finance 2023-03-17 Haritha GB , Sahana N. B

In this paper, we study the ability to make the short-term prediction of the exchange price fluctuations towards the United States dollar for the Bitcoin market. We use the data of realized volatility collected from one of the largest…

Machine Learning · Statistics 2019-02-08 Tian Guo , Albert Bifet , Nino Antulov-Fantulin

Bitcoin is the most common cryptocurrency involved in cyber scams. Cybercriminals often utilize pseudonymity and privacy protection mechanism associated with Bitcoin transactions to make their scams virtually untraceable. The Ponzi scheme…

Cryptography and Security · Computer Science 2022-10-27 Puyang Zhao , Wei Tian , Lefu Xiao , Xinhui Liu , Jingjin Wu

Over the past decade, the blockchain technology and its Bitcoin cryptocurrency have received considerable attention. Bitcoin has experienced significant price swings in daily and long-term valuations. In this paper, we propose a partial…

Pricing of Securities · Quantitative Finance 2020-08-26 Yufang Wang , Haiyan Wang

Accurate forecasting of Bitcoin (BTC) has always been a challenge because decentralized markets are non-linear, highly volatile, and have temporal irregularities. Existing deep learning models often struggle with interpretability and…

Machine Learning · Computer Science 2026-02-16 Raiz Ud Din , Saddam Hussain Khan

Stock prices are highly volatile and sudden changes in trends are often very problematic for traditional forecasting models to handle. The standard Long Short Term Memory (LSTM) networks are regarded as the state-of-the-art models for such…

Machine Learning · Computer Science 2022-04-29 Debasrita Chakraborty , Susmita Ghosh , Ashish Ghosh

The effectiveness of long short term memory networks trained by backpropagation through time for stock price prediction is explored in this paper. A range of different architecture LSTM networks are constructed trained and tested.

Neural and Evolutionary Computing · Computer Science 2016-08-30 Hengjian Jia

Financial markets are highly complex and volatile; thus, learning about such markets for the sake of making predictions is vital to make early alerts about crashes and subsequent recoveries. People have been using learning tools from…

Machine Learning · Computer Science 2022-05-11 Kelum Gajamannage , Yonggi Park

Predicting stock market movements remains a persistent challenge due to the inherently volatile, non-linear, and stochastic nature of financial time series data. This paper introduces a deep learning-based framework employing Long…

Computational Engineering, Finance, and Science · Computer Science 2025-05-09 Rajneesh Chaudhary

Economy is severely dependent on the stock market. An uptrend usually corresponds to prosperity while a downtrend correlates to recession. Predicting the stock market has thus been a centre of research and experiment for a long time. Being…

Statistical Finance · Quantitative Finance 2022-11-15 Shayan Halder

In a natural market environment, the price prediction model needs to be updated in real time according to the data obtained by the system to ensure the accuracy of the prediction. In order to improve the user experience of the system, the…

Computational Finance · Quantitative Finance 2023-07-14 Zhu Bangyuan

Bitcoin has attracted attention from different market participants due to unpredictable price patterns. Sometimes, the price has exhibited big jumps. Bitcoin prices have also had extreme, unexpected crashes. We test the predictive power of…

Statistical Finance · Quantitative Finance 2021-12-15 Andrés García-Medina , Toan Luu Duc Huynh3

Few assets in financial history have been as notoriously volatile as cryptocurrencies. While the long term outlook for this asset class remains unclear, we are successful in making short term price predictions for several major crypto…

Trading and Market Microstructure · Quantitative Finance 2019-12-02 David Zhao , Alessandro Rinaldo , Christopher Brookins

For a long time predicting, studying and analyzing financial indices has been of major interest for the financial community. Recently, there has been a growing interest in the Deep-Learning community to make use of reinforcement learning…

Statistical Finance · Quantitative Finance 2022-09-27 Jatin Nainani , Nirman Taterh , Md Ausaf Rashid , Ankit Khivasara